Use of uncertain additional information in newsvendor models
The newsvendor problem is a popular inventory management problem in supply chain management and logistics. Solutions to the newsvendor problem determine optimal inventory levels. This model is typically fully determined by a purchase and sale prices and a distribution of random market demand. Fr...
| Published in: | GOL'20 : proceedings : 2020 5th International conference on logistics operations management (GOL) October, 28-30, 2020, virtual P. 1-6 |
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| Format: | Book Chapter |
| Language: | Russian |
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| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000564375 Перейти в каталог НБ ТГУ |
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| 024 | 7 | |a 10.1109/GOL49479.2020.9314751 |2 doi | |
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| 040 | |a RU-ToGU |b rus |c RU-ToGU | ||
| 100 | 1 | |a Tarima, Sergey S. |9 562368 | |
| 245 | 1 | 0 | |a Use of uncertain additional information in newsvendor models |c S. S. Tarima, Z. N. Zenkova |
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 504 | |a Библиогр.: 3 назв. | ||
| 520 | 3 | |a The newsvendor problem is a popular inventory management problem in supply chain management and logistics. Solutions to the newsvendor problem determine optimal inventory levels. This model is typically fully determined by a purchase and sale prices and a distribution of random market demand. From a statistical point of view, this problem is often considered as a quantile estimation of a critical fractile which maximizes anticipated profit. The distribution of demand is a random variable and is often estimated on historic data. In an ideal situation, when the probability distribution of demand is known, one can determine the quantile of a critical fractile minimizing a particular loss function. When a parametric family is known, maximum likelihood estimation is asymptotically efficient under certain regularity assumptions and the maximum likelihood estimators (MLEs) are used for estimating quantiles. Then, the Cramer-Rao lower bound determines the lowest possible asymptotic variance for the MLEs. Can one find a quantile estimator with a smaller variance then the Cramer-Rao lower bound? If a relevant additional information is available then the answer is yes. This manuscript considers minimum variance and mean squared error estimation which incorporate additional information for estimating optimal inventory levels. | |
| 653 | |a квантильные оценки | ||
| 653 | |a минимальная дисперсия | ||
| 653 | |a минимальная среднеквадратичная ошибка | ||
| 653 | |a модели поставщиков новостей | ||
| 655 | 4 | |a статьи в сборниках |9 879352 | |
| 700 | 1 | |a Zenkova, Zhanna N. |9 564129 | |
| 773 | 0 | |t GOL'20 : proceedings : 2020 5th International conference on logistics operations management (GOL) October, 28-30, 2020, virtual |d Danvers, 2020 |g P. 1-6 |z 9781728164250 | |
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| 856 | 4 | |u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000564375 | |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=564375 | ||
| 908 | |a статья | ||
| 999 | |c 564375 |d 564375 | ||
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